d-散集的改进(In-)近似界

Ioannis Katsikarelis, Michael Lampis, Vangelis Th. Paschos
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引用次数: 1

摘要

在$d$-Scattered Set问题中,我们被要求在给定的图中选择至少$k$个顶点,使得任意对之间的距离至少$d$。我们研究了问题的(in-)逼近性,并对独立集问题的已知结果进行了改进和扩展,其中独立集问题是一个泛化问题。
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Improved (In-)Approximability Bounds for d-Scattered Set
In the $d$-Scattered Set problem we are asked to select at least $k$ vertices of a given graph, so that the distance between any pair is at least $d$. We study the problem's (in-)approximability and offer improvements and extensions of known results for Independent Set, of which the problem is a generalization.
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来源期刊
Journal of Graph Algorithms and Applications
Journal of Graph Algorithms and Applications Mathematics-Geometry and Topology
CiteScore
1.20
自引率
0.00%
发文量
28
审稿时长
50 weeks
期刊介绍: The Journal of Graph Algorithms and Applications (JGAA) is a peer-reviewed scientific journal devoted to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. JGAA is supported by distinguished advisory and editorial boards, has high scientific standards and is distributed in electronic form. JGAA is a gold open access journal that charges no author fees. Topics of interest for JGAA include but are not limited to: Design and analysis of graph algorithms: exact and approximation graph algorithms; centralized and distributed graph algorithms; static and dynamic graph algorithms; internal- and external-memory graph algorithms; sequential and parallel graph algorithms; deterministic and randomized graph algorithms. Experiences with graph and network algorithms: animations; experimentations; implementations. Applications of graph and network algorithms: biomedical informatics; computational biology; computational geometry; computer graphics; computer-aided design; computer and interconnection networks; constraint systems; databases; economic networks; graph drawing; graph embedding and layout; knowledge representation; multimedia; social networks; software engineering; telecommunication networks; user interfaces and visualization; VLSI circuits.
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